If your iOS attribution data stopped making sense after Apple’s AppTrackingTransparency rollout, you are not alone. SKAdNetwork changed how installs get reported, and many marketing teams are still dealing with attribution data mismatches, unattributed installs, and ROAS that simply does not match reality. The good news is that a number of specialist agencies have built genuine expertise in iOS install tracking and can help you make sense of the numbers again. Below are four agencies worth considering if you are dealing with inaccurate iOS install tracking or need a stronger mobile attribution setup in 2026.
How SKAdNetwork changed iOS attribution forever
Before iOS 14, mobile attribution worked in a relatively straightforward way. A user tapped an ad, installed an app, and your attribution tracking tools connected those two events using device-level identifiers. That level of precision is largely gone now.
SKAdNetwork is Apple’s privacy-preserving attribution framework. It reports installs at a campaign level, introduces conversion value windows that limit the data you receive, and adds a randomised delay to postbacks. The result is that app install numbers can look wrong, installs appear to have dropped suddenly, and the attribution data mismatch between your ad platform and your MMP (mobile measurement partner) becomes harder to explain and harder to fix.
For growth teams running iOS user acquisition, this creates real problems. You cannot optimise toward events you cannot see clearly. You cannot trust ROAS figures that are built on incomplete data. And if your agency or internal team does not have a strong grasp of SKAdNetwork mechanics, probabilistic modelling, and conversion value schema design, you are likely making budget decisions on unreliable foundations. The agencies below all have demonstrable experience helping teams work through exactly these challenges.
1: Wuzzon
We specialise in full-funnel app growth for iOS and Android, and iOS attribution is a core part of what we do. Our team works directly with SKAdNetwork configuration, conversion value schema design, and MMP setup across platforms including Adjust, AppsFlyer, and Branch. If your app installs dropped suddenly or your attribution tracking feels unreliable, we start by auditing your current setup before recommending any changes.
What sets our approach apart is that we combine technical attribution expertise with active campaign management. We do not just fix the tracking and hand it back. We use that improved data to run and optimise paid campaigns across Apple Search Ads, Google, Meta, and TikTok, so the attribution improvements translate directly into better performance decisions.
We are best suited for larger Dutch and Benelux companies, as well as VC-backed app businesses, that need a long-term growth partner rather than a one-off technical fix. Our performance network also allows for transparent CPI and CPA models, which is useful when you need cost-effective scaling alongside reliable attribution data.
2: Phiture
Phiture is a Berlin-based mobile growth consultancy with strong technical depth across ASO, CRM, and paid user acquisition. They have published extensively on SKAdNetwork strategy and conversion value frameworks, which reflects genuine expertise rather than surface-level familiarity with the topic.
Their approach to iOS attribution tends to be methodical and data-driven. They work with teams to design conversion value schemas that capture meaningful signals within the constraints Apple imposes, and they have experience helping clients reconcile attribution data mismatches between ad networks and MMPs.
Phiture works well for mid-to-large app businesses that need both strategic guidance and hands-on implementation. Their team size and consultancy model make them a strong fit for companies that want structured frameworks and documented processes alongside campaign execution.
3: Yodel Mobile
Yodel Mobile is a London-based app growth agency with a broad service offering that includes ASO, paid acquisition, and app store creative optimisation. They have experience working with iOS attribution challenges and helping clients adapt their measurement strategies after ATT changes.
Their strength lies in combining creative performance with attribution analysis. If the meaning of unattributed installs is unclear to your team, or if you are unsure which creative formats are actually driving results on iOS, Yodel brings both the analytical and creative sides of that problem together.
They are a good fit for consumer app businesses, particularly in lifestyle, entertainment, and retail verticals, that want an agency to manage both the creative and the measurement side of iOS growth in one place.
4: Moburst
Moburst is a global app marketing agency with offices in New York, Tel Aviv, and other locations. They work with a wide range of app categories and have built experience in iOS attribution, conversion value optimisation, and cross-platform measurement strategy.
Their team takes a data-first approach to mobile attribution, which means they focus on getting the tracking infrastructure right before scaling spend. This is relevant when ROAS does not match reality, because the problem is often upstream in how events are being reported and attributed rather than in the campaigns themselves.
Moburst suits larger global app businesses or companies that need an agency with broad international reach and experience across multiple verticals. Their size means they can support complex, multi-market campaigns where iOS attribution consistency across regions is a real concern.
What should you look for in an agency?
Not every agency that offers app marketing has genuine expertise in iOS attribution. When you are evaluating options, there are a few things worth checking directly.
- MMP experience: Ask whether the agency has worked with your specific MMP (Adjust, AppsFlyer, Branch, or others) and whether they can configure SKAdNetwork postbacks and conversion value schemas themselves.
- Attribution audit capability: A good agency should be able to review your current setup and identify where inaccurate iOS install tracking data is coming from, before proposing solutions.
- Transparency on modelling: Because SKAdNetwork limits deterministic data, agencies now rely on probabilistic and modelled attribution. Ask how they handle this and how they communicate uncertainty in the data.
- Campaign and measurement integration: Attribution expertise is most useful when it is directly connected to campaign optimisation. An agency that only fixes tracking without using those insights to improve performance is only solving half the problem.
- Relevant vertical experience: Attribution challenges can look different in fintech versus e-commerce versus mobility apps. An agency with experience in your vertical will recognise the specific events and conversion windows that matter to your business.
It is also worth asking for examples of how the agency has handled attribution data mismatches in practice. Not every situation is the same, and how an agency responds to that question tells you a lot about their actual depth of knowledge.
Choose the right partner for iOS attribution
Getting iOS attribution right in 2026 requires both technical knowledge and practical campaign experience. The agencies on this list all bring relevant expertise, but the right fit depends on your market, your app category, and how deeply you need a partner involved in both measurement and growth execution.
If you are based in the Netherlands or Benelux and want a partner with deep roots in the local market, long-standing MMP relationships, and a track record of scaling apps on iOS and Android, we would be glad to talk. Wuzzon offers a full app growth stack built around exactly these challenges, from attribution setup to active user acquisition management. If you want to understand where your current tracking is falling short and what it would take to fix it, request a free consultation and we can take a look together.
Frequently Asked Questions
How do I know if my iOS attribution setup is actually broken, or if the data drop is just a normal SKAdNetwork limitation?
There are a few signs that point to a genuine configuration problem rather than expected SKAdNetwork noise: if your MMP is reporting significantly fewer installs than your ad platform, if your conversion values are returning as zero or null across the board, or if postbacks are arriving inconsistently or not at all, those are red flags worth investigating. Normal SKAdNetwork limitations cause some data loss and delay, but a well-configured setup should still give you directionally reliable campaign-level data. Running an attribution audit with your MMP is the fastest way to separate configuration errors from inherent framework constraints.
What is a conversion value schema and how should I approach designing one for my app?
A conversion value schema is the mapping you define within SKAdNetwork to encode meaningful post-install events into a 6-bit value (0–63) that Apple returns in its postbacks. The design challenge is fitting your most important early user signals — such as registration, first purchase, or a key engagement milestone — into a very limited data window, typically the first 24 hours after install. A good starting point is to identify the two or three in-app events that most reliably predict long-term retention or revenue, then work with your MMP to encode those into your schema. Revisiting and iterating the schema over time as you gather more data is just as important as the initial design.
Our ROAS figures look completely off after ATT. Where should we start troubleshooting?
Start upstream, not at the campaign level. Inaccurate ROAS on iOS is most often a symptom of broken or misconfigured event tracking rather than a campaign performance problem itself. Check whether your SKAdNetwork postbacks are being received and mapped correctly in your MMP, verify that your conversion value schema is capturing revenue or proxy events within the active measurement window, and confirm that your ad platform is receiving and interpreting those postback values as intended. Only once the measurement layer is validated does it make sense to draw conclusions about actual campaign ROAS.
What is the difference between deterministic and probabilistic attribution, and does it still matter in 2026?
Deterministic attribution matches an install to a specific ad interaction using a unique identifier — something that is now largely unavailable on iOS without user consent via ATT. Probabilistic attribution uses statistical signals such as IP address, device type, timestamp, and behavioral patterns to model the most likely source of an install without relying on a direct ID match. In 2026, probabilistic modelling remains essential for filling the gaps that SKAdNetwork leaves, particularly for users who decline tracking. Understanding how your agency or MMP handles probabilistic attribution — and how they communicate the confidence level of that data — is an important part of evaluating whether your reporting is trustworthy.
Can I still run effective iOS user acquisition campaigns without IDFA access?
Yes, and many app businesses are doing it successfully. The key shift is moving from user-level optimisation to campaign-level and cohort-level thinking. Apple Search Ads remains a strong channel because it does not rely on IDFA and benefits from first-party App Store intent signals. Meta and Google have both adapted their iOS campaign products to work within SKAdNetwork constraints using their own modelled attribution layers. The teams seeing the best results are those who have invested in clean conversion value schemas, strong creative testing, and modelled incrementality rather than trying to replicate the pre-ATT measurement approach.
How long does it typically take to fix an iOS attribution setup, and what does that process look like?
A focused attribution audit and reconfiguration typically takes between two and six weeks, depending on the complexity of your MMP setup, the number of ad networks you are running, and whether your conversion value schema needs to be rebuilt from scratch. The process generally starts with a full review of your current postback configuration, event mapping, and MMP settings, followed by identifying gaps or misconfigurations, implementing fixes, and then running a validation period to confirm that data is flowing correctly. Rushing the validation step is a common mistake — it is worth waiting for enough postback volume to confirm the fix is working before drawing conclusions from the new data.
Should we work with the same agency for both attribution setup and campaign management, or is it better to separate those responsibilities?
Keeping attribution and campaign management with the same partner has a meaningful practical advantage: the team optimising your campaigns is working directly with the measurement data they helped configure, which means they understand its limitations and can make better-informed decisions. When those responsibilities are split, there is often a gap where campaign managers are handed data they did not help set up and may not fully trust or interpret correctly. That said, if you already have a strong internal or external campaign team, bringing in a specialist for a one-time attribution audit and setup is a valid approach — just ensure there is a clear handover and that the campaign team is fully briefed on how to read the resulting data.
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